Business Intelligence Engineer (AWS/AI Exposure)

Business Intelligence Engineer (AWS/AI Exposure)

Location: Swindon or London (Hybrid - approx. once per month onsite) Contract: Initial 3 months (strong extension potential) IR35: Inside IR35 Clearance: BPSS required Overview

We’re seeking an experienced Business Intelligence Engineer/AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives.

This role offers the opportunity to work at the intersection of data engineering, business intelligence, and AI, helping to shape both current analytics capabilities and future data solutions. Key Responsibilities

• Design, build, and optimise data pipelines and platform components within AWS
• Support and enhance Business Intelligence reporting and analytics
• Contribute to the development of a modern data lake and data architecture
• Deliver across both BAU support and new capability development
• Collaborate with cross-functional teams on AI initiatives and roadmap delivery
• Apply best practices for data quality, governance, and performance optimisation

Core Technical Skills

Strong hands-on experience with:

• AWS data stack (Glue, S3, Lambda, Redshift, Athena)
• Advanced SQL
• Python for data processing and pipeline development
• Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable)
• Experience working in Business Intelligence/analytics environments

AI/ML Exposure (Essential)

Candidates must demonstrate practical exposure to AI/ML, such as:

• Working with cloud-based AI services (eg AWS Bedrock or similar)
• Supporting AI-enabled data products or workflows
• Understanding generative AI concepts, including prompt engineering
• Exposure to ML pipelines or collaboration with Data Science teams

(This does not need to be a core specialism but must be clearly evidenced.) Experience Required

• Typically 4-8+ years’ experience in data engineering/BI roles
• Proven experience delivering AWS-based data solutions
• Background in data warehousing, analytics, or data platform development
• Experience working in complex or regulated environments is beneficial

Desirable Experience

• Knowledge of AWS AI services (eg Bedrock)
• Experience contributing to data lake or modern data platforms
• Exposure to DataOps/CI-CD practices
• Experience in the public sector (nice to have)

Role Split

• ~50% BI/Data Engineering delivery and support
• ~50% New capability development, including data platform and AI initiatives

Key Attributes

• Strong problem solver with a hands-on engineering mindset
• Comfortable working in a fast-paced, evolving environment
• Ability to bridge data engineering and AI use cases
• Proactive, collaborative, and delivery-focused

Additional Information

This organisation is part of the Disability Confident scheme and Armed Forces Covenant. Candidates eligible for the Guaranteed Interview Scheme should highlight this in their application.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Strong hands-on experience with:

• AWS data stack (Glue, S3, Lambda, Redshift, Athena)
• Advanced SQL
• Python for data processing and pipeline development
• Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable)
• Experience working in Business Intelligence/analytics environments

AI/ML Exposure (Essential)

Candidates must demonstrate practical exposure to AI/ML, such as:

• Working with cloud-based AI services (eg AWS Bedrock or similar)
• Supporting AI-enabled data products or workflows
• Understanding generative AI concepts, including prompt engineering
• Exposure to ML pipelines or collaboration with Data Science teams

(This does not need to be a core specialism but must be clearly evidenced.) Experience Required

• Typically 4-8+ years’ experience in data engineering/BI roles
• Proven experience delivering AWS-based data solutions
• Background in data warehousing, analytics, or data platform development
• Experience working in complex or regulated environments is beneficial

Desirable Experience

• Knowledge of AWS AI services (eg Bedrock)
• Experience contributing to data lake or modern data platforms
• Exposure to DataOps/CI-CD practices
• Experience in the public sector (nice to have)

Role Split

• ~50% BI/Data Engineering delivery and support
• ~50% New capability development, including data platform and AI initiatives

Key Attributes

• Strong problem solver with a hands-on engineering mindset
• Comfortable working in a fast-paced, evolving environment
• Ability to bridge data engineering and AI use cases
• Proactive, collaborative, and delivery-focused